Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

National Agricultural Innovation System (NAIS): Diagnosis, Gaps and Mapping of Actors

Luis Fernando Gutiérrez Cano
* ORCID logo ,
Jhon Wilder Zartha Sossa
* ,
John Fredy Moreno Sarta
* ,
Juan Camilo Oviedo Lopera
,
Jorge Iván Quintero Saavedra
,
Lina María Suárez Guzmán
,
Diego Alejandro Agudelo Tapasco
,
Orlando Rodríguez García
Version 1 : Received: 5 March 2024 / Approved: 6 March 2024 / Online: 6 March 2024 (04:29:00 CET)

A peer-reviewed article of this Preprint also exists.

Gutiérrez Cano, L.F.; Zartha Sossa, J.W.; Moreno Sarta, J.F.; Oviedo Lopera, J.C.; Quintero Saavedra, J.I.; Suárez Guzmán, L.M.; Agudelo Tapasco, D.A. National Agricultural Innovation System (NAIS): Diagnosis, Gaps, and Mapping of Actors. Sustainability 2024, 16, 3294. Gutiérrez Cano, L.F.; Zartha Sossa, J.W.; Moreno Sarta, J.F.; Oviedo Lopera, J.C.; Quintero Saavedra, J.I.; Suárez Guzmán, L.M.; Agudelo Tapasco, D.A. National Agricultural Innovation System (NAIS): Diagnosis, Gaps, and Mapping of Actors. Sustainability 2024, 16, 3294.

Abstract

This article examines the diagnosis of the Agricultural Innovation System (SIA) in the department of Tolima, Colombia, as part of a project led by the Colombian Ministry of Agriculture and Rural Development and the Technological University of Pereira (TUP), which also evaluated the National Agricultural Innovation System (NAIS) in regions such as Chocó, Bolívar, and Meta. A methodology was used that involved a survey with 58 questions on a Likert scale to 300 participants, evaluated with congruence and relevance indexes, identifying key variables in the operation of the Agricultural Innovation System (AIS). A survey was also applied to actors of the National Innovation System for Higher Education in Agriculture, A survey was also applied to map the participating actors in the regional agricultural innovation systems of Tolima to identify gaps in extension, innovation, development, sustainability, ICT, education and training. Among the conclusions, it stands out that the associativity subsystem presents the lowest lag and is close to a score of two on the scale of gaps, evaluation carried out among the five subsystems including extension, ICT, environmental aspects, and pub-lic policy. The department of Tolima shows low performance in innovation and ICT, while the extension is less lagging. In Chaparral there is a general lag, with innovation being the worst evaluated subsystem. Rovira obtains high scores in most subsystems, although innovation and ICT have lower scores. At the national and regional levels, innovation is low, and articulation among NARS actors is insufficient, which highlights the need to promote good practices, strategies, and projects.

Keywords

Systems of Innovation,; National Agricultural Innovation System; gaps; Innovation and Development (R&D); training; , ICT; sustainability

Subject

Business, Economics and Management, Business and Management

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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